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HR POD - Hiring Talent Globally

Recruit > Revamp > Reskill - Make Your Next Hire, Your Best Hire

Platform Engineer

Infrastructure EngineerInfrastructure EngineerFull TimeRemoteMid LevelTeam 11-50Since 2023H1B No SponsorCompany SiteLinkedIn

Location

Pakistan

Posted

61 days ago

Salary

0

Seniority

Mid Level

Job Description

Platform Engineer

HR POD - Hiring Talent Globally

Role Description - Build and maintain AI agent systems (LLM-based) with a focus on reliability and factual accuracy. - Implement and optimize hallucination detection models (e.g., HHEM) in production pipelines. - Develop RAG pipelines: semantic search, vector databases, and data retrieval to ground AI responses in real data. - Apply Responsible AI practices: guardrails, transparency, logging, and human-in-the-loop escalation. - Optimize system performance for latency, scalability, and cost-efficiency. - Collaborate with cross-functional teams (product, UX, data, customers) to deliver features. - Mentor junior engineers and support knowledge sharing within the team. - Contribute to internal tools, open-source projects, or research publications when relevant. Qualifications - Bachelor's or Master's degree in Computer Science, AI, or related field. - 3–7 years of experience in AI/ML engineering, preferably with LLMs or AI agents in production. - Strong programming skills in Python, with experience in ML frameworks such as PyTorch or TensorFlow. - Hands-on experience with LLMs, embeddings, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.). - Familiarity with MLOps, CI/CD pipelines, and cloud deployment (AWS, GCP, or Azure). - Experience with Responsible AI, bias mitigation, or hallucination detection is a plus. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to explain technical concepts to non-technical stakeholders. - Experience with AI agent frameworks such as LangChain, AutoGPT, or LlamaIndex. - Prior work in regulated or high-stakes industries (healthcare, finance, legal). - Open-source contributions or research publications in AI/ML. - Product-oriented mindset with experience in translating business requirements into technical solutions. Requirements - Bachelor's or Master's degree in Computer Science, AI, or related field. - 3–7 years of experience in AI/ML engineering, preferably with LLMs or AI agents in production. - Strong programming skills in Python, with experience in ML frameworks such as PyTorch or TensorFlow. - Hands-on experience with LLMs, embeddings, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.). - Familiarity with MLOps, CI/CD pipelines, and cloud deployment (AWS, GCP, or Azure). - Experience with Responsible AI, bias mitigation, or hallucination detection is a plus. - Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. - Excellent communication skills to explain technical concepts to non-technical stakeholders. - Experience with AI agent frameworks such as LangChain, AutoGPT, or LlamaIndex. - Prior work in regulated or high-stakes industries (healthcare, finance, legal). - Open-source contributions or research publications in AI/ML. - Product-oriented mindset with experience in translating business requirements into technical solutions. Company Description

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